Senior Data Engineer / Robotics
Motion Recruitment Partners, LLC, Warren, MI, United States
A cutting-edge robotics and AI organization is seeking a Senior Robotics Data Engineer to support next-generation autonomous manufacturing systems. This onsite contract role is based in the Detroit, MI area and focuses on building scalable data infrastructure that powers robotic perception, grasping, and manipulation models. You’ll work with large, complex datasets coming from both physical robots and advanced simulation environments, enabling real-world AI deployment at scale.
This opportunity is ideal for an engineer who enjoys owning the full data lifecycle behind intelligent systems. You won’t just maintain pipelines – you’ll help define how robotic data is captured, labeled, versioned, and validated for production AI. The work directly influences how robots learn and adapt across thousands of real manufacturing scenarios, offering deep technical growth and meaningful impact.
Contract Duration: 12+ Months
Required Skills & Experience
5+ years of experience in data engineering, ML systems, robotics, or related fields
Strong Python experience building production-grade data pipelines
Hands‑on experience with large‑scale, multimodal datasets (vision, depth, sensor data)
Experience supporting ML or AI workflows in real‑world environments
Ability to collaborate across robotics, perception, and simulation teams
Desired Skills & Experience
Background in robotics perception, grasping, or manipulation systems
Experience with simulation platforms and synthetic data generation
Familiarity with data labeling tools and annotation workflows
Exposure to TensorFlow and/or PyTorch from a data systems perspective
Experience with cloud or Microsoft data ecosystems is a plus
What You Will Be Doing
Tech Breakdown
50% Python-based data engineering & ML data systems
30% Robotics data capture, simulation, and synthetic data workflows
20% Data quality, versioning, and dataset governance
Daily Responsibilities
80% Hands‑on engineering
10% Cross-team technical collaboration
10% Planning, design, and documentation
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This opportunity is ideal for an engineer who enjoys owning the full data lifecycle behind intelligent systems. You won’t just maintain pipelines – you’ll help define how robotic data is captured, labeled, versioned, and validated for production AI. The work directly influences how robots learn and adapt across thousands of real manufacturing scenarios, offering deep technical growth and meaningful impact.
Contract Duration: 12+ Months
Required Skills & Experience
5+ years of experience in data engineering, ML systems, robotics, or related fields
Strong Python experience building production-grade data pipelines
Hands‑on experience with large‑scale, multimodal datasets (vision, depth, sensor data)
Experience supporting ML or AI workflows in real‑world environments
Ability to collaborate across robotics, perception, and simulation teams
Desired Skills & Experience
Background in robotics perception, grasping, or manipulation systems
Experience with simulation platforms and synthetic data generation
Familiarity with data labeling tools and annotation workflows
Exposure to TensorFlow and/or PyTorch from a data systems perspective
Experience with cloud or Microsoft data ecosystems is a plus
What You Will Be Doing
Tech Breakdown
50% Python-based data engineering & ML data systems
30% Robotics data capture, simulation, and synthetic data workflows
20% Data quality, versioning, and dataset governance
Daily Responsibilities
80% Hands‑on engineering
10% Cross-team technical collaboration
10% Planning, design, and documentation
#J-18808-Ljbffr